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Data Science Entry Level Remote Jobs in Virginia

Imagineeer LLC

Data Migration Specialist

Arlington, VA · On-site +1

$135K - $145K/yr

Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field ... This is a remote position. Compensation: $135,000.00 - $145,000.00 per year About Us Our Approach ...

NT Concepts

Machine Learning Engineer

Chantilly, VA · On-site +1

If cutting edge data science projects resonate with you, and you care deeply about joining a ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...

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Data Science Entry Level Remote information

What are some typical challenges entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What are the key skills and qualifications needed to thrive as an entry-level remote Data Scientist, and why are they important?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What are data science entry level remote jobs?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What are the most commonly searched types of Data Science Remote jobs in Virginia? The most popular types of Data Science Remote jobs in Virginia are:
What are popular job titles related to Data Science Entry Level Remote jobs in Virginia? For Data Science Entry Level Remote jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Virginia look for? The top searched job categories for Data Science Entry Level Remote jobs in Virginia are:
Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Virginia as of May 2026, with employment types broken down into 61% Full Time, 28% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Data Migration Specialist

Imagineeer LLC

Arlington, VA • On-site, Remote

$135K - $145K/yr

Full-time

Medical, Retirement, PTO

Posted 29 days ago

Job description

Benefits:
  • 401(k) matching
  • Competitive salary
  • Health insurance
  • Paid time off

About this Role:
Imagineeer is seeking an experienced Data Architect / Data Analyst to support our client, the Department of Health and Human Services (DHHS), Office of the Chief Information Officer (OCIO) in migrating their core HR IT functions into OPM's new HR 2.0 government-wide federated HR IT platform. The yet-to-be-announced platform will encompass Time and Attendance, Position Description management, Performance Management, Employee/Manager/HR Self-Service, and an Enterprise Business Intelligence capability. The solution will be compliant with federal cybersecurity, records management, and accessibility standards, to improve system performance, user satisfaction, and long-term sustainability of HR services. This role is critical for assisting HHS in the consolidation and migration of their existing data into the new platform and optimizing HCM applications and processes that support essential administrative and operational functions across the department. The ideal candidate combines strong technical development skills with an understanding of federal government systems and requirements. This position requires the ability to obtain and maintain a Public Trust clearance.
Key Responsibilities:
  • Assess and inventory existing legacy data in application data stores, shared folders and shared drives.
  • Assess the quality, completeness, and relevance of data to be migrated.
  • Identify and document data dependencies, redundancies, and inconsistencies.
  • Collaborate with stakeholders to understand data structures, relationships, and required formats for successful migration.
  • Develop a comprehensive data migration plan that outlines steps, timelines, and resource requirements for the migration process.
  • Identify potential challenges and propose solutions to mitigate risks associated with data migration.
  • Interpret legacy APIs and other system integrations, and define mapping between systems
  • Plan for thorough testing of the migrated data to ensure accuracy, completeness, and successful integration.
  • Recommend validation reports and the process to document any discrepancies and work closely with stakeholders to resolve issues.
  • Collaborate with software engineers, database administrators, and development teams to ensure compatibility and alignment with the overall architecture.
  • Maintain effective communication with project stakeholders to provide updates on migration planning progress and gather feedback.
  • Create and maintain technical documentation related to planned data migration processes, procedures, and system configurations.
  • Specify reports on migration progress, data quality metrics, and issue resolution.

Qualifications and Skills:
  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
  • Previous experience as a Database Engineer and proven experience in data migration, particularly with legacy systems and cloud environments.
  • Proficiency in data migration tools and ETL processes (e.g., Talend, Informatica, SSIS, or similar).
  • Strong knowledge of database management systems (e.g., SQL Server, Oracle, MySQL, PostgreSQL).
  • Experience with scripting languages (e.g., Python, Perl, SQL, PowerShell) for data transformation and automation.
  • Familiarity with indexing and data accessibility in software applications.

Desired Skills and Competencies:
  • Experience with federal HRIT systems is a huge plus, particularly USA Staffing, USA Performance, DFAS, ITAS, HHS LMS, EHCM, ServiceNow for HR case management.
  • Experience with federal agency data governance best practices, data quality standards, and compliance measures.
  • Strong analytical and problem-solving skills, with attention to detail.
  • Experience with large federal agency data migration planning and execution.

Equal Opportunity Employer:
We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications.
This is a remote position.
Compensation: $135,000.00 - $145,000.00 per year
About Us
Our Approach
We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence.
We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments.

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